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Papers Containing Keywords(s): 'employed'

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Frequently Occurring Concepts within this Search

Longitudinal Employer Household Dynamics - 124

Current Population Survey - 104

Bureau of Labor Statistics - 97

North American Industry Classification System - 82

Internal Revenue Service - 80

Longitudinal Business Database - 73

Center for Economic Studies - 70

Employer Identification Numbers - 62

Census Bureau Disclosure Review Board - 58

National Science Foundation - 58

American Community Survey - 57

Ordinary Least Squares - 53

Standard Industrial Classification - 52

Social Security Administration - 50

Alfred P Sloan Foundation - 50

Protected Identification Key - 41

Decennial Census - 41

Quarterly Census of Employment and Wages - 41

Quarterly Workforce Indicators - 40

Unemployment Insurance - 39

Social Security Number - 38

Survey of Income and Program Participation - 38

Social Security - 36

Business Register - 35

Metropolitan Statistical Area - 33

Disclosure Review Board - 32

National Bureau of Economic Research - 29

LEHD Program - 27

Federal Statistical Research Data Center - 26

Cornell University - 26

Federal Reserve Bank - 24

Chicago Census Research Data Center - 23

Department of Labor - 23

Standard Statistical Establishment List - 23

PSID - 22

Economic Census - 21

Census of Manufactures - 21

Local Employment Dynamics - 20

Annual Survey of Manufactures - 20

National Institute on Aging - 20

W-2 - 19

International Trade Research Report - 19

Individual Characteristics File - 18

Longitudinal Research Database - 18

Federal Reserve System - 18

Business Dynamics Statistics - 17

AKM - 17

Bureau of Economic Analysis - 17

Employment History File - 16

2010 Census - 16

University of Chicago - 16

Service Annual Survey - 16

Research Data Center - 16

Census Bureau Business Register - 15

Employer Characteristics File - 15

National Longitudinal Survey of Youth - 15

Characteristics of Business Owners - 15

Financial, Insurance and Real Estate Industries - 15

Census Bureau Longitudinal Business Database - 15

County Business Patterns - 14

Survey of Business Owners - 13

Retail Trade - 13

Cornell Institute for Social and Economic Research - 13

University of Maryland - 13

Small Business Administration - 12

Total Factor Productivity - 12

Office of Personnel Management - 11

Office of Management and Budget - 11

Master Address File - 10

Census Numident - 10

Business Employment Dynamics - 10

Occupational Employment Statistics - 10

Labor Turnover Survey - 10

Journal of Labor Economics - 10

Person Validation System - 10

Board of Governors - 10

Composite Person Record - 9

Census of Manufacturing Firms - 9

JOLTS - 9

Detailed Earnings Records - 9

Kauffman Foundation - 9

Journal of Economic Literature - 9

American Economic Review - 9

Russell Sage Foundation - 9

National Employer Survey - 8

Integrated Longitudinal Business Database - 8

Postal Service - 8

Technical Services - 8

Accommodation and Food Services - 8

Successor Predecessor File - 8

Herfindahl Hirschman Index - 8

Employer-Household Dynamics - 8

Standard Occupational Classification - 8

American Economic Association - 8

Business Register Bridge - 8

Consolidated Metropolitan Statistical Areas - 8

Health Care and Social Assistance - 7

Sloan Foundation - 7

Core Based Statistical Area - 7

Society of Labor Economists - 7

Department of Homeland Security - 7

Current Population Survey Annual Social and Economic Supplement - 7

Center for Administrative Records Research - 7

Special Sworn Status - 7

Urban Institute - 7

Census 2000 - 7

Nonemployer Statistics - 6

Legal Form of Organization - 6

CDF - 6

Agriculture, Forestry - 6

Cumulative Density Function - 6

University of Michigan - 6

Health and Retirement Study - 6

Educational Services - 6

Professional Services - 6

Department of Health and Human Services - 6

NBER Summer Institute - 6

Census Bureau Center for Economic Studies - 6

Review of Economics and Statistics - 6

National Income and Product Accounts - 6

New York University - 6

Census Industry Code - 6

Cobb-Douglas - 6

North American Free Trade Agreement - 6

Council of Economic Advisers - 6

New York Times - 6

Department of Defense - 6

Business Master File - 6

Labor Productivity - 6

American Statistical Association - 6

BLS Handbook of Methods - 6

Sample Edited Detail File - 6

Department of Commerce - 6

WECD - 6

Company Organization Survey - 5

COVID-19 - 5

Arts, Entertainment - 5

Annual Business Survey - 5

Organization for Economic Cooperation and Development - 5

Housing and Urban Development - 5

HHS - 5

Department of Economics - 5

Social Security Disability Insurance - 5

Wholesale Trade - 5

ASEC - 5

Person Identification Validation System - 5

SSA Numident - 5

Personally Identifiable Information - 5

World Trade Organization - 5

Medical Expenditure Panel Survey - 5

Federal Insurance Contribution Act - 5

UC Berkeley - 5

Department of Housing and Urban Development - 5

Public Administration - 5

Bureau of Labor - 5

Current Employment Statistics - 5

Quarterly Journal of Economics - 5

Journal of Political Economy - 5

Michigan Institute for Teaching and Research in Economics - 5

Yale University - 5

Permanent Plant Number - 5

MAF-ARF - 4

National Establishment Time Series - 4

Supreme Court - 4

General Accounting Office - 4

Kauffman Firm Survey - 4

Census Bureau Business Dynamics Statistics - 4

MIT Press - 4

Earned Income Tax Credit - 4

Federal Tax Information - 4

Business Services - 4

Agency for Healthcare Research and Quality - 4

United States Census Bureau - 4

PIKed - 4

Pew Research Center - 4

Social and Economic Supplement - 4

North American Industry Classi - 4

Master Earnings File - 4

American Housing Survey - 4

Probability Density Function - 4

Center for Administrative Records Research and Applications - 4

Federal Reserve Bank of Chicago - 4

Geographic Information Systems - 4

Columbia University - 4

1940 Census - 4

Integrated Public Use Microdata Series - 3

Longitudinal Firm Trade Transactions Database - 3

Limited Liability Company - 3

George Mason University - 3

Federal Register - 3

IQR - 3

TFPQ - 3

Journal of Human Resources - 3

Boston College - 3

Annual Survey of Entrepreneurs - 3

Survey of Consumer Finances - 3

Federal Reserve Board of Governors - 3

American Immigration Council - 3

Temporary Assistance for Needy Families - 3

Ohio State University - 3

Census of Retail Trade - 3

Journal of Econometrics - 3

NUMIDENT - 3

Indian Health Service - 3

Harvard University - 3

IZA - 3

Public Use Micro Sample - 3

Establishment Micro Properties - 3

Computer Assisted Telephone Interviews and Computer Assisted Personal Interviews - 3

Computer Assisted Personal Interview - 3

CATI - 3

employ - 151

labor - 131

workforce - 130

employee - 119

earnings - 79

worker - 75

payroll - 70

recession - 64

job - 59

hiring - 48

economist - 44

salary - 40

econometric - 39

earner - 37

unemployed - 37

occupation - 33

workplace - 33

entrepreneurship - 32

survey - 32

hire - 32

entrepreneur - 31

earn - 30

employing - 30

heterogeneity - 27

establishment - 27

employment dynamics - 27

tenure - 27

layoff - 25

census employment - 24

employment growth - 24

longitudinal - 24

quarterly - 24

enterprise - 23

entrepreneurial - 23

employment statistics - 23

proprietorship - 22

venture - 22

unemployment rates - 22

longitudinal employer - 21

labor statistics - 21

estimating - 21

census bureau - 20

employment estimates - 20

endogeneity - 20

industrial - 20

employer household - 20

employment data - 19

macroeconomic - 19

estimates employment - 19

employee data - 18

proprietor - 17

employment earnings - 17

minority - 17

growth - 17

shift - 17

turnover - 16

manufacturing - 16

metropolitan - 16

work census - 15

agency - 15

respondent - 15

employment wages - 15

report - 14

trend - 14

hispanic - 14

discrimination - 14

ethnicity - 14

clerical - 14

opportunity - 13

labor markets - 13

gdp - 13

sale - 13

employment flows - 13

earnings employees - 12

sector - 12

trends employment - 12

immigrant - 12

wage data - 12

employment unemployment - 12

compensation - 12

ownership - 12

economic census - 12

irs - 11

research census - 11

effect wages - 11

statistical - 11

organizational - 11

employment trends - 11

revenue - 11

incentive - 11

workers earnings - 11

estimation - 11

matching - 11

employment count - 11

data census - 11

state employment - 11

recessionary - 11

rates employment - 11

residential - 11

disparity - 10

company - 10

corporation - 10

socioeconomic - 10

worker demographics - 10

production - 10

woman - 10

bias - 10

recession employment - 10

mobility - 10

residence - 10

aging - 10

effects employment - 9

investment - 9

disadvantaged - 9

market - 9

export - 9

economically - 9

imputation - 9

employment effects - 9

worker wages - 9

expenditure - 9

associate - 9

wage differences - 9

accounting - 9

retirement - 9

union - 9

wages employment - 9

segregation - 9

wages productivity - 9

ethnic - 9

owner - 9

census data - 8

employed census - 8

financial - 8

unobserved - 8

employment entrepreneurship - 8

decline - 8

tax - 8

wage industries - 8

workforce indicators - 8

earnings workers - 8

employment measures - 8

data - 8

decade - 8

regress - 8

population - 8

endogenous - 8

employment recession - 8

wage variation - 8

wage regressions - 8

owned businesses - 8

demand - 7

startup - 7

rural - 7

migration - 7

migrant - 7

filing - 7

rent - 7

transition - 7

gender - 7

insurance - 7

analysis - 7

econometrician - 7

microdata - 7

productive - 7

finance - 7

wealth - 7

housing - 7

profit - 7

industry employment - 7

wage growth - 7

citizen - 7

wage changes - 7

department - 7

labor productivity - 7

state - 7

resident - 7

neighborhood - 7

business owners - 7

acquisition - 7

incorporated - 6

nonemployer businesses - 6

wage earnings - 6

relocation - 6

employment production - 6

record - 6

increase employment - 6

impact employment - 6

earnings growth - 6

commute - 6

coverage - 6

statistician - 6

wage effects - 6

industry wages - 6

earnings inequality - 6

discrepancy - 6

executive - 6

manager - 6

efficiency - 6

federal - 6

welfare - 6

unemployment insurance - 6

census research - 6

career - 6

measures employment - 6

poverty - 6

employment changes - 6

corporate - 6

black - 6

characteristics businesses - 6

censuses surveys - 5

2010 census - 5

assessed - 5

wage gap - 5

business startups - 5

wholesale - 5

startups employees - 5

native - 5

employment distribution - 5

exporter - 5

migrate - 5

immigration - 5

disclosure - 5

aggregate - 5

warehousing - 5

job growth - 5

earnings age - 5

retail - 5

founder - 5

geographically - 5

leverage - 5

wages production - 5

network - 5

white - 5

segregated - 5

racial - 5

productivity growth - 5

merger - 5

household surveys - 4

employees startups - 4

town - 4

spillover - 4

import - 4

exporting - 4

migrating - 4

percentile - 4

educated - 4

estimator - 4

women earnings - 4

survey income - 4

managerial - 4

reporting - 4

medicaid - 4

econometrically - 4

recession exposure - 4

model - 4

coverage employer - 4

datasets - 4

immigrant entrepreneurs - 4

regional - 4

trends labor - 4

shareholder - 4

moving - 4

use census - 4

asian - 4

neighbor - 4

prospect - 4

race - 4

assessing - 4

information census - 3

census survey - 3

prevalence - 3

impact - 3

area - 3

exogeneity - 3

autoregressive - 3

growth employment - 3

firms export - 3

trading - 3

importer - 3

trader - 3

declining - 3

city - 3

firms census - 3

immigrant workers - 3

expense - 3

outsourcing - 3

premium - 3

healthcare - 3

insurance employer - 3

health insurance - 3

insurance premiums - 3

analyst - 3

taxpayer - 3

1040 - 3

industry productivity - 3

productivity differences - 3

productivity measures - 3

ssa - 3

disability - 3

asset - 3

linked census - 3

census business - 3

imputation model - 3

firms employment - 3

mother - 3

productivity wage - 3

volatility - 3

yearly - 3

plant employment - 3

parental - 3

classified - 3

census file - 3

intergenerational - 3

enrollment - 3

eligible - 3

contract - 3

stock - 3

heterogeneous - 3

social - 3

endowment - 3

businesses census - 3

residing - 3

matched - 3

restructuring - 3

manufacturer - 3

latino - 3

productivity estimates - 3

black business - 3

establishments data - 3

regression - 3

specialization - 3

Viewing papers 1 through 10 of 240


  • Working Paper

    Business Owners and the Self-Employed: 33 Million (and Counting!)

    September 2025

    Working Paper Number:

    CES-25-60

    Entrepreneurs are known to be key drivers of economic growth, and the rise of online platforms and the broader 'gig economy' has led self-employment to surge in recent decades. Yet the young and small businesses associated with this activity are often absent from economic data. In this paper, we explore a novel longitudinal dataset that covers the owners of tens of millions of the smallest businesses: those without employees. We produce three new sets of statistics on the rapidly growing set of nonemployer businesses. First, we measure transitions between self-employment and wage and salary jobs. Second, we describe nonemployer business entry and exit, as well as transitions between legal form (e.g., sole proprietorship to S corporation). Finally, we link owners to their nonemployer businesses and examine the dynamics of business ownership.
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  • Working Paper

    LODES Design and Methodology Report: Methodology Version 7

    August 2025

    Working Paper Number:

    CES-25-52

    The purpose of this report is to document the important features of Version 7 of the LEHD Origin-Destination Employment Statistics (LODES) processing system. This includes data sources, data processing methodology, confidentiality protection methodology, some quality measures, and a high-level description of the published data. The intended audience for this document includes LODES data users, Local Employment Dynamics (LED) Partnership members, U.S. Census Bureau management, program quality auditors, and current and future research and development staff members.
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  • Working Paper

    Understanding Criminal Record Penalties in the Labor Market

    June 2025

    Working Paper Number:

    CES-25-39

    This paper studies the earnings and employment penalties associated with a criminal record. Using a large-scale dataset linking criminal justice and employer-employee wage records, we estimate two-way fixed effects models that decompose earnings into worker's portable earnings potential and firm pay premia, both of which are allowed to shift after a worker acquires a record. We find that firm pay premia explain a small share of earnings gaps between workers with and without a record. There is little evidence of variable within-firm premia gaps either. Instead, components of workers' earnings potential that persist across firms explain the bulk of gaps. Conditional on earnings potential, workers with a record are also substantially less likely to be employed. Difference-in-differences estimates comparing workers' first conviction to workers charged but not convicted or charged later support these findings. The results suggest that criminal record penalties operate primarily by changing whether workers are employed and their earnings potential at every firm rather than increasing sorting into lower-paying jobs, although the bulk of gaps can be attributed to differences that existed prior to acquiring a record.
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  • Working Paper

    Tapping Business and Household Surveys to Sharpen Our View of Work from Home

    June 2025

    Working Paper Number:

    CES-25-36

    Timely business-level measures of work from home (WFH) are scarce for the U.S. economy. We review prior survey-based efforts to quantify the incidence and character of WFH and describe new questions that we developed and fielded for the Business Trends and Outlook Survey (BTOS). Drawing on more than 150,000 firm-level responses to the BTOS, we obtain four main findings. First, nearly a third of businesses have employees who work from home, with tremendous variation across sectors. The share of businesses with WFH employees is nearly ten times larger in the Information sector than in Accommodation and Food Services. Second, employees work from home about 1 day per week, on average, and businesses expect similar WFH levels in five years. Third, feasibility aside, businesses' largest concern with WFH relates to productivity. Seven percent of businesses find that onsite work is more productive, while two percent find that WFH is more productive. Fourth, there is a low level of tracking and monitoring of WFH activities, with 70% of firms reporting they do not track employee days in the office and 75% reporting they do not monitor employees when they work from home. These lessons serve as a starting point for enhancing WFH-related content in the American Community Survey and other household surveys.
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  • Working Paper

    Impact Investing and Worker Outcomes

    May 2025

    Working Paper Number:

    CES-25-30

    Impact investors claim to distinguish themselves from traditional venture capital and growth equity investors by also pursuing environmental, social, and governance (ESG) objectives. Whether they successfully do so in practice is unclear. We use confidential Census Bureau microdata to assess worker outcomes across portfolio companies. Impact investors are more likely than other private equity firms to fund businesses in economically disadvantaged areas, and the performance of these companies lags behind those held by traditional private investors. We show that post-funding impact-backed firms are more likely to hire minorities, unskilled workers, and individuals with lower historical earnings, perhaps reflecting the higher representation of minorities in top positions. They also allocate wage increases more favorably to minorities and rank-and-file workers than VC-backed firms. Our results are consistent with impact investors and their portfolio companies acting according to non-pecuniary social goals and thus are not consistent with mere window dressing or cosmetic changes.
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  • Working Paper

    Startup Dynamics: Transitioning from Nonemployer Firms to Employer Firms, Survival, and Job Creation

    April 2025

    Working Paper Number:

    CES-25-26

    Understanding the dynamics of startup businesses' growth, exit, and survival is crucial for fostering entrepreneurship. Among the nearly 30 million registered businesses in the United States, fewer than six million have employees beyond the business owners. This research addresses the gap in understanding which companies transition to employer businesses and the mechanisms behind this process. Job creation remains a critical concern for policymakers, researchers, and advocacy groups. This study aims to illuminate the transition from non-employer businesses to employer businesses and explore job creation by new startups. Leveraging newly available microdata from the U.S. Census Bureau, we seek to gain deeper insights into firm survival, job creation by startups, and the transition from non-employer to employer status.
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  • Working Paper

    Place Based Economic Development and Tribal Casinos

    April 2025

    Working Paper Number:

    CES-25-24

    Tribal lands in the U.S. have historically experienced some of the worst economic conditions in the nation. We review some existing research on the effect of American Indian tribal casinos on various measures of local economic development. This is an industry that began in the early 1990s and currently generates more than $40 billion annually. We also review the state of the literature on the effects of casino operations on communities in or adjacent to tribal areas. Using a new dataset linking individual and enterprise-level data longitudinally, this study examines the industry- and location-specific impacts of tribal casino operations. We focus in particular on the employment of American Indians. We document positive flows from unemployment and non-casino geographies to work in sectors related to casino operations. Tribal casinos differ from other standard place-based economic development projects in that they are focused on a single industry; we discuss these differences and note that some of the positive spillover effects may be similar to other, more standard place-based policies. Finally, we discuss additional and open-ended questions for future research on this topic.
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  • Working Paper

    Size Matters: Matching Externalities and the Advantages of Large Labor Markets

    April 2025

    Working Paper Number:

    CES-25-22

    Economists have long hypothesized that large and thick labor markets facilitate the matching between workers and firms. We use administrative data from the LEHD to compare the job search outcomes of workers originally in large and small markets who lost their jobs due to a firm closure. We define a labor market as the Commuting Zone'industry pair in the quarter before the closure. To account for the possible sorting of high-quality workers into larger markets, the effect of market size is identified by comparing workers in large and small markets within the same CZ, conditional on workers fixed effects. In the six quarters before their firm's closure, workers in small and large markets have a similar probability of employment and quarterly earnings. Following the closure, workers in larger markets experience significantly shorter non-employment spells and smaller earning losses than workers in smaller markets, indicating that larger markets partially insure workers against idiosyncratic employment shocks. A 1 percent increase in market size results in a 0.015 and 0.023 percentage points increase in the 1-year re-employment probability of high school and college graduates, respectively. Displaced workers in larger markets also experience a significantly lower need for relocation to a different CZ. Conditional on finding a new job, the quality of the new worker-firm match is higher in larger markets, as proxied by a higher probability that the new match lasts more than one year; the new industry is the same as the old one; and the new industry is a 'good fit' for the worker's college major. Consistent with the notion that market size should be particularly consequential for more specialized workers, we find that the effects are larger in industries where human capital is more specialized and less portable. Our findings may help explain the geographical agglomeration of industries'especially those that make intensive use of highly specialized workers'and validate one of the mechanisms that urban economists have proposed for the existence of agglomeration economies.
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  • Working Paper

    The Composition of Firm Workforces from 2006'2022: Findings from the Business Dynamics Statistics of Human Capital Experimental Product

    April 2025

    Working Paper Number:

    CES-25-20

    We introduce the Business Dynamics Statistics of Human Capital (BDS-HC) tables, a new Census Bureau experimental product that provides public-use statistics on the workforce composition of firms and its relationship to business dynamics. We use administrative W-2 filings to combine population-level worker demographic data with longitudinal business data to estimate the demographic and educational composition of nearly all non-farm employer businesses in the United States between 2006 and 2022. We use this newly constructed data to document the evolution of employment, entry, and exit of employers based on their workforce compositions. We also provide new statistics on the interaction between firm and worker characteristics, including the composition of workers at startup firms. We find substantial changes between 2006 and 2022 in the distribution of employers along several dimensions, primarily driven by changing workforce compositions within continuing firms rather than the reallocation of employment between firms. We also highlight systematic differences in the business dynamics of firms by their workforce compositions, suggesting that different groups of workers face different economic environments due to their employers.
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  • Working Paper

    The Effect of Oil News Shocks on Job Creation and Destruction

    January 2025

    Working Paper Number:

    CES-25-06

    Using data from the Annual Survey of Manufactures (ASM) and the Census of Manufacturing (CMF), we construct quarterly measures of job creation and destruction by 3-digit NAICS industries spanning from 1980Q3-2016Q4. These long series allow us to address three questions regarding the effect of oil news shocks. What is the average effect of oil news shocks on sectoral labor reallocation? What characteristics explain the observed heterogeneity in the average responses across industries? Has the response of US manufacturing changed over time? We find evidence that oil news shocks exert only a moderate effect on total manufacturing net employment growth but lead to a significant increase in job reallocation. However, we find a high degree of heterogeneity in responses across industries. We then show that the cross-industry variation in the sensitivity of net employment growth and excess job reallocation to oil news shocks is related to differences in energy costs, the rate of energy to capital expenditures, and the share of mature firms in the industry. Finally, we illustrate how the dynamic response of sectoral job creation and destruction to oil news shocks has declined since the mid-2000s.
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